Binding MOAD (Mother of All Databases)
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TLDR
This work has searched the crystallography papers for all 5000+ structures and compiled binding data for 1375 of the protein–ligand complexes, which is the largest collection of binding data reported to date in the literature.Abstract:
Binding MOAD (Mother of All Data- bases) is the largest collection of high-quality, protein- ligand complexes available from the Protein Data Bank. At this time, Binding MOAD contains 5331 protein-ligand complexes comprised of 1780 unique protein families and 2630 unique ligands. We have searched the crystallography papers for all 5000 structures and compiled binding data for 1375 (26%) of the protein-ligand complexes. The binding-affinity data ranges 13 orders of magnitude. This is the largest collection of binding data reported to date in the literature. We have also addressed the issue of redun- dancy in the data. To create a nonredundant dataset, one protein from each of the 1780 protein families was chosen as a representative. Representatives were cho- sen by tightest binding, best resolution, etc. For the 1780 "best" complexes that comprise the nonredun- dant version of Binding MOAD, 475 (27%) have bind- ing data. This significant collection of protein-ligand complexes will be very useful in elucidating the bio- physical patterns of molecular recognition and enzy- matic regulation. The complexes with binding-affinity data will help in the development of improved scoring functions and structure-based drug discovery tech- niques. The dataset can be accessed at http://www. BindingMOAD.org. Proteins 2005;60:333-340.read more
Citations
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Journal ArticleDOI
BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
TL;DR: BindingDB is a publicly accessible database currently containing ∼20 000 experimentally determined binding affinities of protein–ligand complexes, for 110 protein targets including isoforms and mutational variants, and ∼11000 small molecule ligands.
Journal ArticleDOI
The PDBbind database: methodologies and updates.
TL;DR: The PDBbind database is developed to provide a comprehensive collection of binding affinities for the protein-ligand complexes in the Protein Data Bank, and a total of 900 complexes were selected to form a "refined set", which is of particular value as a standard data set for docking and scoring studies.
Journal ArticleDOI
Prediction of protein-ligand interactions. Docking and scoring: successes and gaps.
TL;DR: The area of calculating molecular interactions, specifically docking, the positioning of a ligand in a protein binding site, and scoring, the quality assessment of docked ligands is called attention.
Journal ArticleDOI
Lessons Learned in Empirical Scoring with smina from the CSAR 2011 Benchmarking Exercise
TL;DR: A general methodology for designing an empirical scoring function and smina, a version of AutoDock Vina specially optimized to support high-throughput scoring and user-specified custom scoring functions are described.
Journal ArticleDOI
Virtual screening strategies in drug discovery: a critical review.
Antonio Lavecchia,C. Di Giovanni +1 more
TL;DR: This review provides a comprehensive appraisal of several VS approaches currently available and special emphasis will be given to in silico chemogenomics approaches which utilize annotated ligand-target as well as protein-ligand interaction databases and which could predict or reveal promiscuous binding and polypharmacology.
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